Evidence map›Paper›PMID 35706903›Full record

ArticleFrontiers in cell and developmental biology2022

Maternal Diabetes and Postnatal High-Fat Diet on Pregnant Offspring.

Yuri Karen Sinzato, Verônyca Gonçalves Paula, Franciane Quintanilha Gallego, Rafaianne Q Moraes-Souza, José Eduardo Corrente, Gustavo Tadeu Volpato, Débora Cristina Damasceno

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 17 citations in OpenAlex.

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  7. The Ethanolic Extract ofPharmaceuticals (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yuri Karen SinzatoLaboratory of Experimental Research on Gynecology and Obstetrics, Postgraduate Course on Tocogynecology, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, Brazil.
Verônyca Gonçalves PaulaLaboratory of Experimental Research on Gynecology and Obstetrics, Postgraduate Course on Tocogynecology, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, Brazil.
Franciane Quintanilha GallegoLaboratory of Experimental Research on Gynecology and Obstetrics, Postgraduate Course on Tocogynecology, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, Brazil.
Rafaianne Q Moraes-SouzaLaboratory of Experimental Research on Gynecology and Obstetrics, Postgraduate Course on Tocogynecology, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, Brazil.
José Eduardo CorrenteResearch Support Office, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, Brazil.
Gustavo Tadeu VolpatoLaboratory of System Physiology and Reproductive Toxicology, Institute of Biological and Health Sciences, Federal University of Mato Grosso (UFMT), Barra do Garças, Brazil.
Débora Cristina DamascenoLaboratory of Experimental Research on Gynecology and Obstetrics, Postgraduate Course on Tocogynecology, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, Brazil.
Universidade Estadual Paulista (Unesp) · BRUniversidade Federal de Mato Grosso · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal diabetes-induced fetal programming predisposes offspring to type 2 diabetes, cardiovascular disease, and obesity in adulthood. However, lifelong health and disease trajectories depend on several factors and nutrition is one of the main ones. We intend to understand the role of maternal diabetes-induced fetal programming and its association with a high-fat diet during lifelong in the female F1 generation focusing on reproductive outcomes and the possible changes in physiological systems during pregnancy as well as the repercussions on the F2 generation at birth. For this, we composed four groups: F1 female pups from control (OC) or from diabetic dams (OD) and fed with standard (SD) or high-fat diet from weaning to full-term pregnancy. During pregnancy, glucose intolerance and insulin sensitivity were evaluated. In a full-term pregnancy, the maternal blood and liver were collected to evaluate redox status markers. The maternal blood, placental tissue, and fetal blood (pool) were collected to evaluate adiponectin and leptin levels. Maternal reproductive parameters were evaluated as well. Maternal diabetes and high-fat diet consumption, in isolation, were both responsible for increased infertility rates and fasting glucose levels in the F1 generation and fetal growth restriction in the F2 generation. The association of both conditions showed, in addition to those, increased lipoperoxidation in maternal erythrocytes, regardless of the increased endogenous antioxidant enzyme activities, glucose intolerance, decreased number of implantation sites and live fetuses, decreased litter, fetal and placental weight, increased preimplantation losses, and increased fetal leptin serum levels. Thus, our findings show that fetal programming caused by maternal diabetes or lifelong high-fat diet consumption leads to similar repercussions in pregnant rats. In addition, the association of both conditions was responsible for glucose intolerance and oxidative stress in the first generation and increased fetal leptin levels in the second generation. Thus, our findings show both the F1 and F2 generations harmed health after maternal hyperglycemic intrauterine environment and exposure to a high-fat diet from weaning until the end of pregnancy.

Indexed as

diabetesFemale reproductionfetal programmingmalnutritionrodent

Identifiers

PMID35706903
PMCPMC9189289
OpenAlexW4281958272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.